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A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation

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dc.contributor.authorTalla Chumpitaz, Reewos
dc.contributor.authorOrozco Barbosa, Luis
dc.contributor.authorGarcía Castro, Raúl
dc.contributor.authorCastillo Cara, José Manuel
dc.date.accessioned2024-05-20T11:35:19Z
dc.date.available2024-05-20T11:35:19Z
dc.date.issued2022-10-17
dc.description.abstractThe growing interest in the use of IoT technologies has generated the development of numerous and diverse applications. Many of the services provided by the applications are based on knowledge of the localisation and profile of the end user. Thus, the present work aims to develop a system for indoor localisation prediction using Bluetooth-based fingerprinting using Convolutional Neural Networks (CNN). For this purpose, a novel technique was developed that simulates the diffusion behaviour of the wireless signal by transforming tidy data into images. For this transformation, we implemented the technique used in painting known as blurring, simulating the diffusion of the signal spectrum. Our proposal also includes the use and a comparative analysis of two dimensional reduction algorithms, PCA and t -SNE. Finally, an evolutionary algorithm was implemented to configure and optimise our solution with the combination of different transmission power levels. The results reported in this work present an accuracy of close to 94%, which clearly shows the great potential of this novel technique in the development of more accurate indoor localisation systems .es
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1016/j.inffus.2022.10.011
dc.identifier.issn1566-2535 eISSN 1872-6305
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12267
dc.journal.titleInformation Fusion
dc.journal.volume91
dc.language.isoen
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInformática y Automática
dc.rightsAtribución 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0
dc.subject.keywordsIndoor positioning
dc.subject.keywordsFingerprinting localisation
dc.subject.keywordsMetaheuristic algorithm optimisation
dc.subject.keywordsImage blurring technique
dc.subject.keywordsConvolutional Neural Network
dc.subject.keywordsImage generation
dc.titleA novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisationes
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationc0e39bd2-c0d8-4743-953d-488baf6b977e
relation.isAuthorOfPublication.latestForDiscoveryc0e39bd2-c0d8-4743-953d-488baf6b977e
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